Blood Types A medical researcher wishes to see if hospital patients in a large hospital have the same blood type distribution as those in the general population. The distribution for the general population is as follows: type A, 24%; type B, 28%; type O, 36%; and type AB=12%. He selects a random sample of 50 patients and finds the following: 14 have type A blood, 10 have type B, 23 have type O, and 3 have type AB blood. At α=0.01, can it be concluded that the distribution is the same as that of the general population? Use the critical value method with tables.   H0: The blood type distribution is the same as the distribution of the general population. Claim or not? H1: The blood type distribution differs from the distribution of the general population: Claim or not? Find the critical value Compute the test value: X^2= Reject or Do not reject the null hypothesis Summarize: Is there or is there not enough evidence to reject the claim? Is there or is there not enough evidence to support the claim?

MATLAB: An Introduction with Applications
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Blood Types A medical researcher wishes to see if hospital patients in a large hospital have the same blood type distribution as those in the general population. The distribution for the general population is as follows: type A, 24%; type B, 28%; type O, 36%; and type AB=12%. He selects a random sample of 50 patients and finds the following: 14 have type A blood, 10 have type B, 23 have type O, and 3 have type AB blood.

At α=0.01, can it be concluded that the distribution is the same as that of the general population? Use the critical value method with tables.

 

  1. H0: The blood type distribution is the same as the distribution of the general population. Claim or not?
    H1: The blood type distribution differs from the distribution of the general population: Claim or not?

  2. Find the critical value

  3. Compute the test value: X^2=

  4. Reject or Do not reject the null hypothesis

  5. Summarize:
    Is there or is there not enough evidence to reject the claim?
    Is there or is there not enough evidence to support the claim?
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